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Record W2793518748 · doi:10.1080/17571472.2018.1453957

Reorganising health and social care in Québec: a journey towards integrating care through mergers

2018· article· en· W2793518748 on OpenAlexafffundabout
Paul Wankah, Maxime Guillette, Sophie Dumas, Yves Couturier, Dominique Gagnon, Louise Belzile, Yahya Mosbah, Mylaine Breton

Bibliographic record

VenueLondon Journal of Primary Care · 2018
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsUniversité du Québec en Abitibi-TémiscamingueUniversité de Sherbrooke
FundersCanadian Institutes of Health ResearchCanada Research Chairs
KeywordsSocial careHealth carePublic relationsBusinessKnowledge managementData scienceComputer sciencePolitical scienceNursingMedicine

Abstract

fetched live from OpenAlex

CONTEXT: Two reforms (2014, 2015) characterised by the merger of public health care establishments profoundly shaped the current organisation of Quebec's healthcare system. In 2015, 22 megastructures called Integrated Health and Social Services Centres/Integrated University Health and Social Services Centres (IHSSC/IUHSSC), were created and mandated to organise care delivery to their local populations. OBJECTIVE: To describe the service configuration of the 2015 healthcare system reforms, emphasising on how it shaped the organisation of primary health care (PHC) in Quebec. RESULTS: With the creation of IHSSCs/IUHSSCs, Quebec's healthcare system passed from three to two levels of governance, leading to a centralisation of decision-making powers. Most health services are delivered by the new organisations, while most PHC is delivered by semi-private medical practices, mainly Family Medicine Groups (FMGs). The FMG model is the preferred strategy to develop interdisciplinary team-work and inter-organizational collaborations with other PHC services. CONCLUSION: mechanisms through which centralised healthcare systems achieve community oriented integrated care (COIC) need to be properly understood in order to improve meaningful clinical outcomes. Mergers may not sufficiently achieve integration of services in all its dimensions. These reforms should be monitored and evaluated on their capacity to mobilise all providers as well as physicians to participate in COIC.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.192
Threshold uncertainty score0.938

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.003
Science and technology studies0.0140.011
Scholarly communication0.0110.004
Open science0.0030.008
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0070.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.410
Teacher spread0.381 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations50
Published2018
Admission routes3
Has abstractyes

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